without having read the paper in detail, I just think the discussion should be done with fair weapons:
The description of the ear via a FFT is a rather poor model, but a FFT (or rather the math behind that) can be interpretet as a bank of overlapping bandpass filters (see the Oppenheim Schaefer DSP book)....so this point raised is not valid.
I would be surprised if this result would not have been reported before in the solid psychoacoustics literature before.
On 02/18/2013 05:00 PM, James Johnston wrote:
I must admit some frustration with this particular paper. First, the
Gabor limit does not apply to the task, and never did. The only limit
here is SNR_based, since there is already expectation of a given set
of frequencies, this is not a task requiring arbitrary detection.
Then, the fact that the ear is a leading edge detector has been
understood for roughly 100 years now, making "1/100 th of a
wavelength" perhaps not such a big deal.
It is nice that this performance ability by the human has been clearly
demonstrated, but the headline is inexcusably misleading, and is
already providing fodder for the audiophile "I told you so" bunch who
simply doesn't understand what it means.
And, in any case, who would use an FFT to detect such a thing? Rather
use a set of bandpass filters, eh?
On Sun, Feb 17, 2013 at 12:02 PM, Peter Meijer
Indeed this relates to a discussion that we had 9 years ago,
and that formed the basis of my old web page on beating the
frequency-time uncertainty principle,
Seeing with Sound - The vOICe
Date: Sun, 17 Feb 2013 07:43:35 +0000
From: "Beerends, J.G. (John)" <john.beerends@xxxxxx>
Subject: Re: Human hearing beats the Fourier uncertainty principle:
For discrimination the uncertainty limit does not exist, one can build
discriminator devices that go below the uncertainty limit in both the time
and frequency domain, the uncertainty limit is only a measure for the spread
(Delta) in both domains (DfDt>1), it is not a limit to what extent they can
be discriminated. One can also build a device that measures the frequency of
a sine wave with an accuracy below the uncertainty limit by exploiting
a-priori knowledge, i.e. if I know that the signal I am measuring is a
short cut out of an infinite duration sine wave of a certain amplitude I can
measure the frequency as accurate as I want.
From: AUDITORY - Research in Auditory Perception
[mailto:AUDITORY@xxxxxxxxxxxxxxx] On Behalf Of Kevin Austin
Sent: Saturday, February 16, 2013 5:07 PM
Subject: Human hearing beats the Fourier uncertainty principle: Research
(Phys.org)-For the first time, physicists have found that humans can
discriminate a sound's frequency (related to a note's pitch) and timing
(whether a note comes before or after another note) more than 10 times
better than the limit imposed by the Fourier uncertainty principle. Not
surprisingly, some of the subjects with the best listening precision were
musicians, but even non-musicians could exceed the uncertainty limit. The
results rule out the majority of auditory processing brain algorithms that
have been proposed, since only a few models can match this impressive human
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